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Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.

Z. He, H. Makrani, S. Rafatirad, H. Homayoun, and H. Sayadi. ICCD, page 231-238. IEEE, (2022)

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Hosein Nazarpour

Ian Hosein

Valiollah Mohammadi

Masoumeh Mohammadi

Bahram Mohammadi

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Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud.H. Makrani, H. Sayadi, N. Nazari, K. Khasawneh, A. Sasan, S. Rafatirad, and H. Homayoun. SEED, page 1-13. IEEE, (2021)StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.H. Sayadi, Y. Gao, H. Makrani, T. Mohsenin, A. Sasan, S. Rafatirad, J. Lin, and H. Homayoun. ACM Great Lakes Symposium on VLSI, page 175-180. ACM, (2020)Architectural considerations for FPGA acceleration of machine learning applications in MapReduce.K. Neshatpour, H. Makrani, A. Sasan, H. Ghasemzadeh, S. Rafatirad, and H. Homayoun. SAMOS, page 89-96. ACM, (2018)Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching.M. Namazi, H. Makrani, Z. Tian, S. Rafatirad, M. Akbari, A. Sasan, and H. Homayoun. ACM Great Lakes Symposium on VLSI, page 219-224. ACM, (2019)Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications.H. Makrani, S. Tabatabaei, S. Rafatirad, and H. Homayoun. IGSC, page 1-6. IEEE Computer Society, (2017)Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey.H. Sayadi, Z. He, H. Makrani, and H. Homayoun. ISQED, page 1-10. IEEE, (2024)XPPE: cross-platform performance estimation of hardware accelerators using machine learning.H. Makrani, H. Sayadi, T. Mohsenin, S. Rafatirad, A. Sasan, and H. Homayoun. ASP-DAC, page 727-732. ACM, (2019)HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures.N. Bavarsad, H. Makrani, H. Sayadi, L. Landis, S. Rafatirad, and H. Homayoun. ICCD, page 509-516. IEEE, (2021)Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks.N. Nazari, H. Makrani, C. Fang, H. Sayadi, S. Rafatirad, K. Khasawneh, and H. Homayoun. USENIX Security Symposium, USENIX Association, (2024)Applied Machine Learning for Resource Provisioning of Data-Intensive Applications on Scale-Out Platforms and Its Security ChallengesH. Makrani. University of California, Davis, USA, (2021)

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Disambiguation of "Makrani, Hosein Mohammadi"

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Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.

Please choose a person to relate this publication to

Hosein Nazarpour

Ian Hosein

Valiollah Mohammadi

Masoumeh Mohammadi

Bahram Mohammadi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Makrani, Hosein Mohammadi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.

Please choose a person to relate this publication to

Hosein Nazarpour

Ian Hosein

Valiollah Mohammadi

Masoumeh Mohammadi

Bahram Mohammadi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach.